PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-12 10:23:26.776862+00:00 (UTC)
In US/Central Time, this is 2024-08-12 05:23:26.776862-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/a82f84e13451887ad998357dca0ae955754097400ae3f6e36aa60a192d50355f.png
We are just generating a random time serie here.
../_images/3c726e12c17971d2e203a1020e3f07e68e7fb9c7c595bd756ed738e802439b8f.png
../_images/140d2459247e6d3ed99ff231c644fd279ca4c2d4007902e7f95f3205f51f1d1b.png